bibtype C - Conference Paper (international conference)
ARLID 0397070
utime 20240103203046.2
mtime 20140304235959.9
DOI 10.1109/ICIP.2013.6738119
title (primary) (eng) Patch-based blind deconvolution with parametric interpolation of convolution kernels
specification
page_count 5 s.
media_type C
serial
ARLID cav_un_epca*0425945
ISBN 978-1-4799-2341-0
title Proceedings of the 2013 IEEE International Conference on Image Processing ICIP 2013
page_num 577-581
publisher
place Piscataway
name IEEE
year 2013
keyword blind deconvolution
keyword space-variant convolution
keyword interpolation
author (primary)
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0108377
name1 Šorel
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0294728
name1 Horáčková
name2 Irena
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/ZOI/sroubek-0397070.pdf
cas_special
project
project_id GA13-29225S
agency GA ČR
ARLID cav_un_auth*0292734
abstract (eng) We propose a method for removal of space-variant blur from images predominantly degraded by camera shake without any knowledge of camera trajectory. Blurs are first estimated in a small number of image patches. We derive a novel parametric blur interpolation method and discuss conditions under which it can be used to exactly calculate blurs for every pixel position. Having this information, we restore the sharp image by a standard regularization technique. Performance of the proposed method is experimentally validated.
action
ARLID cav_un_auth*0294729
name International conference on image processing, ICIP 2013
place Melbourne
dates 15.09.2013-18.09.2013
country AU
reportyear 2014
RIV JD
num_of_auth 4
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0225515
confidential S
arlyear 2013
mrcbU63 cav_un_epca*0425945 Proceedings of the 2013 IEEE International Conference on Image Processing ICIP 2013 978-1-4799-2341-0 577 581 Piscataway IEEE 2013